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An Exon Signature to Estimate the Tumor Mutational Burden of Right-sided Colon Cancer Patients
The clinical applicability of the whole-exome sequencing (WES) in estimating tumor mutational burden (TMB) is currently limited by high cost, time-consuming and tissue availability. And given to the differences in the mutational landscapes among different types of cancer, we aimed to develop a cance...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959028/ https://www.ncbi.nlm.nih.gov/pubmed/31949492 http://dx.doi.org/10.7150/jca.34363 |
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author | Guo, Wenbing Fu, Yelin Jin, Liangliang Song, Kai Yu, Ruihan Li, Tianhao Qi, Lishuang Gu, Yunyan Zhao, Wenyuan Guo, Zheng |
author_facet | Guo, Wenbing Fu, Yelin Jin, Liangliang Song, Kai Yu, Ruihan Li, Tianhao Qi, Lishuang Gu, Yunyan Zhao, Wenyuan Guo, Zheng |
author_sort | Guo, Wenbing |
collection | PubMed |
description | The clinical applicability of the whole-exome sequencing (WES) in estimating tumor mutational burden (TMB) is currently limited by high cost, time-consuming and tissue availability. And given to the differences in the mutational landscapes among different types of cancer, we aimed to develop a cancer-specific signature to estimate TMB for right-sided colon cancer patients (RCC). Using WES data of 315 RCC patients, we identified the exons in which the number of mutational sites of the coding DNA sequences associated with TMB through linear regression analysis. Then, among these exons, we extracted a signature composed by 102 exons (~0.13 Mbp) through a heuristic selection procedure. The TMB estimated by the signature was highly correlated with those calculated by WES in the discovery dataset (R(2)=0.9869) and three independent validation datasets (R(2)=0.9351, R(2)=0.8063 and R(2)=0.9527, respectively). And the performance of the signature was superior to a colorectal-specific TMB estimation model contained 22 genes (~0.24 Mbp). Moreover, between TMB-high and TMB-low RCC patients, there were significantly differences in the frequencies of microsatellite instability status, CpG island methylator phenotype, BRAF, KRAS and POLE/POLD1 mutation status (p<0.01). However, the performances of the signature in other types of cancer were dramatically degraded (left-sided colon cancer, R(2)=0.7849 and 0.9407, respectively; rectum, R(2)=0.5955 and R(2)=0.965, respectively; breast cancer, R(2)=0.8444; lung cancer, R(2)=0.5963), suggesting that it was necessary to develop cancer-specific TMB estimated signatures to estimate precisely the TMB in different types of cancer. In summary, we developed an exon signature that can accurately estimate TMB in RCC patients, and the cost and time required for the assessment of TMB can be considerably decreased, making it more suitable for blood and/or biopsy samples. |
format | Online Article Text |
id | pubmed-6959028 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-69590282020-01-16 An Exon Signature to Estimate the Tumor Mutational Burden of Right-sided Colon Cancer Patients Guo, Wenbing Fu, Yelin Jin, Liangliang Song, Kai Yu, Ruihan Li, Tianhao Qi, Lishuang Gu, Yunyan Zhao, Wenyuan Guo, Zheng J Cancer Research Paper The clinical applicability of the whole-exome sequencing (WES) in estimating tumor mutational burden (TMB) is currently limited by high cost, time-consuming and tissue availability. And given to the differences in the mutational landscapes among different types of cancer, we aimed to develop a cancer-specific signature to estimate TMB for right-sided colon cancer patients (RCC). Using WES data of 315 RCC patients, we identified the exons in which the number of mutational sites of the coding DNA sequences associated with TMB through linear regression analysis. Then, among these exons, we extracted a signature composed by 102 exons (~0.13 Mbp) through a heuristic selection procedure. The TMB estimated by the signature was highly correlated with those calculated by WES in the discovery dataset (R(2)=0.9869) and three independent validation datasets (R(2)=0.9351, R(2)=0.8063 and R(2)=0.9527, respectively). And the performance of the signature was superior to a colorectal-specific TMB estimation model contained 22 genes (~0.24 Mbp). Moreover, between TMB-high and TMB-low RCC patients, there were significantly differences in the frequencies of microsatellite instability status, CpG island methylator phenotype, BRAF, KRAS and POLE/POLD1 mutation status (p<0.01). However, the performances of the signature in other types of cancer were dramatically degraded (left-sided colon cancer, R(2)=0.7849 and 0.9407, respectively; rectum, R(2)=0.5955 and R(2)=0.965, respectively; breast cancer, R(2)=0.8444; lung cancer, R(2)=0.5963), suggesting that it was necessary to develop cancer-specific TMB estimated signatures to estimate precisely the TMB in different types of cancer. In summary, we developed an exon signature that can accurately estimate TMB in RCC patients, and the cost and time required for the assessment of TMB can be considerably decreased, making it more suitable for blood and/or biopsy samples. Ivyspring International Publisher 2020-01-01 /pmc/articles/PMC6959028/ /pubmed/31949492 http://dx.doi.org/10.7150/jca.34363 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Guo, Wenbing Fu, Yelin Jin, Liangliang Song, Kai Yu, Ruihan Li, Tianhao Qi, Lishuang Gu, Yunyan Zhao, Wenyuan Guo, Zheng An Exon Signature to Estimate the Tumor Mutational Burden of Right-sided Colon Cancer Patients |
title | An Exon Signature to Estimate the Tumor Mutational Burden of Right-sided Colon Cancer Patients |
title_full | An Exon Signature to Estimate the Tumor Mutational Burden of Right-sided Colon Cancer Patients |
title_fullStr | An Exon Signature to Estimate the Tumor Mutational Burden of Right-sided Colon Cancer Patients |
title_full_unstemmed | An Exon Signature to Estimate the Tumor Mutational Burden of Right-sided Colon Cancer Patients |
title_short | An Exon Signature to Estimate the Tumor Mutational Burden of Right-sided Colon Cancer Patients |
title_sort | exon signature to estimate the tumor mutational burden of right-sided colon cancer patients |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959028/ https://www.ncbi.nlm.nih.gov/pubmed/31949492 http://dx.doi.org/10.7150/jca.34363 |
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